Content-based Filtering and Web Scraping in Website for Recommended Anime

Aim: This research aim is to determine the level of user satisfaction using Delone and Mclean models obtained from implementation content-based filtering method in anime recommendation system.
 Study Design: study was designed with a Content-based Filtering web-scrapping build an Place Duration Study: Department Informatic Universitas Multimedia Nusantara, between July 2022 December 2022.
 Methodology: The initial step this collecting data web scrapping questionnaires, then followed by literature study, after that continued system design application development. After made next get Mclean, final writing report research.
 Results: development implementing website-based have been successfully created, results calculating calculated 43 respondents methods show, has good result percentage 74.23%.
 Conclusion: are 74.23%.